How to Limit Filter Bar Interactions in the Consumer View in Fusion Data Intelligence @Oracle

Updated September 2026, 2 days ago

How to Limit Filter Bar Interactions in the Consumer View in Fusion Data Intelligence

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$AI Changes Everything: Inside Oracle Red Bull Racing’s AI Edge See how Oracle Red Bull Racing combines AI, simulation, software engineering, and data science to improve race strategy, vehicle development, and engineering productivity in Formula One. Learn how explainable AI, human expertise, and data-driven decision-making create competitive advantage at https://social.ora.cl/6002BDMP8M In this episode of AI Changes Everything, Martin Galpin, head of technology at Oracle Red Bull Racing, explains how AI, simulation, software engineering, and data science help one of Formula Ones most successful teams compete where every decision and every fraction of a second matter. Galpin discusses how Oracle Red Bull Racing develops specialized software that cannot be purchased commercially, creating tools that support aerodynamics, vehicle performance, race strategy, simulators, and engineering teams. He explains why simulation and computational modeling have become essential as Formula One teams work within strict limits on testing, wind tunnel usage, and computational resources. The conversation explores how AI is used across the organization, from improving information retrieval and engineering productivity to modeling vehicle sensors and supporting physical and data-driven analysis. Galpin also shares how generative AI is reshaping software engineering, why the cost of creating code continues to decline, and why maintaining, governing, and understanding software remain essential engineering responsibilities. The discussion examines where AI adds the most value and where human judgment continues to play a critical role. Galpin explains why explainability is essential for race strategy, how engineers balance physical models with machine learning techniques, and why trust in AI systems depends on understanding how recommendations are produced rather than simply accepting them. Beyond Formula One, Galpin shares his perspective on the future of software engineering, evolving hiring practices, the importance of domain expertise, and how engineers can use AI to solve increasingly complex problems. He concludes by explaining why AI is most valuable when it strengthens the capabilities of talented people instead of replacing them. 00:00:00 Introduction & Opening Question 00:00:33 Meet Martin Gallatin 00:01:51 Technologys Role in Formula One 00:03:11 Red Bulls Software Culture 00:04:16 Formula One Development Constraints 00:06:00 Regulations Drive Innovation 00:06:50 AI Across the Team 00:08:42 Generative AI in Engineering 00:10:54 When Humans Beat AI 00:13:18 Physical vs Data Models 00:14:11 AI and Software Engineers 00:17:08 Martins Career Journey 00:18:38 AI Quickfire Round 00:20:00 Formula Ones AI Future 00:21:55 AI Should Empower Humans 00:22:50 Favorite AI Prompting Tips 00:23:57 Closing Remarks Like what you learned from this AI Changes Everything podcast? Subscribe now https://social.ora.cl/60025k87j Join us at Oracle AI World: https://social.ora.cl/60035eVvJ Contact Oracle AI sales: https://social.ora.cl/6006cxqAp Learn more about Oracle AI: https://social.ora.cl/6002cxQcY Try Oracle AI for free: https://social.ora.cl/6007CEo8B AI Solutions Hub: https://social.ora.cl/6000cxQWQ Follow us here: LinkedIn: https://social.ora.cl/60035eXuF X: https://social.ora.cl/6008abVgG Instagram: https://social.ora.cl/60095eXDN Facebook: https://social.ora.cl/60065enQp$

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